Adam Dandi Research

At The KPI Institute, I build automated data pipelines, predictive models, and executive dashboards that turn distributed data into growth decisions. I consolidated 290 online forms and more than 500,000 records into a validated database, cutting manual processing time by 50%.

I use SQL, Python, R, Tableau, and Looker Studio to make complex analysis practical. My work includes forecasting event attendance with Random Forest and XGBoost, normalizing indicators across 126 countries with MissForest, and helping corporate teams identify market gaps through commercial and website analysis.

Previously, at Join Momentum and SpareProvider, I supported grant strategy, partnerships, financial planning, reporting automation, and data-driven operational improvements. I also evaluated 60 global competitors and analyzed more than 1,300 survey responses to inform pricing, positioning, and internship strategy.

My research has contributed to national education policy in Indonesia, including analysis of 6,000+ textbook entries for the Ministry of Education and Culture. I enjoy translating predictive models, mixed-methods research, and business data into clear recommendations leaders can act on.